06/17/2026
This demonstration showcases how the Pretectum Customer Master Data Management (CMDM) platform unifies disparate data sources to create a "golden nominal" customer record. The platform organizes data hierarchically into secure tenants and business area domains, using customizable schema models to define customer profiles.
Key Features and Capabilities
Data Integration and Organization:
The platform supports rapid data loading from various sources, including databases, applications, and file stores.
Data is compartmentalized by business area domains and managed within "containers" that follow specific schema structures.
Data Quality and Validation:
Automated tools identify errors such as missing values, mangled data, and inconsistent formatting (e.g., mixed-case text).
Integrations go beyond basic format checking to validate the actual existence of email addresses, phone numbers, and physical addresses.
AI-Powered Management:
An AI assistant, using the Model Context Protocol (MCP), allows users to interact with data sets using natural language.
Users can perform bulk updates—such as standardizing all email addresses to lowercase—without needing specialized tools or complex export/reload processes.
Deduplication and Merging:
The platform identifies duplicate records across different data sets (e.g., from e-commerce vs. accounting) using deterministic matching rules.
Users can define flexible merge rules at the individual attribute level, such as selecting the "longest string" or "most common value" to preserve in the final golden record.
An iterative preview mode allows users to refine these rules before executing a bulk merge.
Compliance and Auditing:
Every change is recorded with verbose, attribute-level logging that includes user IDs and timestamps.
This detailed audit trail supports internal controls and helps organizations meet regulatory compliance obligations for customer data management.
SummaryThis video demonstrates how to create a high-quality "golde...